Benchmarking Model-Based Reinforcement Learning

3 July 2019

Matthew Shunshi Zhang

Guodong Zhang

Pieter Abbeel

Jimmy Ba

OffRL

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Papers citing "Benchmarking Model-Based Reinforcement Learning"

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Title
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 94 120 0 22 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 112 28 0 19 Oct 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? Qiwen Cui Lin F. Yang OffRL 70 14 0 12 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 164 875 0 05 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 52 7 0 04 Oct 2020
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control Rel Guzman Rafael Oliveira F. Ramos 97 15 0 01 Oct 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices Vu-Linh Nguyen S. B. Orbell D. Lennon H. Moon F. Vigneau ... D. Zumbuhl G. Briggs Michael A. Osborne D. Sejdinovic N. Ares 55 41 0 30 Sep 2020
A Contraction Approach to Model-based Reinforcement Learning Ting-Han Fan Peter J. Ramadge OffRL 52 1 0 18 Sep 2020
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control V. M. Alvarez R. Rosca Cristian G. Falcutescu 63 11 0 09 Sep 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 76 71 0 28 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 106 17 0 11 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 73 6 0 07 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 105 84 0 29 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 102 204 0 09 Jul 2020
Adaptive Regret for Control of Time-Varying Dynamics Paula Gradu Elad Hazan Edgar Minasyan 88 47 0 08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 111 89 0 06 Jul 2020
Bidirectional Model-based Policy Optimization Hang Lai Jian Shen Weinan Zhang Yong Yu 76 58 0 04 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 105 49 0 30 Jun 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 84 52 0 29 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 129 9 0 26 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 106 94 0 24 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 84 119 0 22 Jun 2020
An Ode to an ODE K. Choromanski Jared Davis Valerii Likhosherstov Xingyou Song Jean-Jacques E. Slotine Jacob Varley Honglak Lee Adrian Weller Vikas Sindhwani 87 31 0 19 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 32 0 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 74 52 0 16 Jun 2020
Provably Efficient Model-based Policy Adaptation Yuda Song Aditi Mavalankar Wen Sun Sicun Gao TTA OffRL 74 10 0 14 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 105 233 0 14 Jun 2020
Continuous Control for Searching and Planning with a Learned Model Xuxi Yang Werner Duvaud Peng Wei 66 5 0 12 Jun 2020
From proprioception to long-horizon planning in novel environments: A hierarchical RL model Nishad Gothoskar Miguel Lázaro-Gredilla Dileep George 33 0 0 11 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 86 225 0 10 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 71 29 0 05 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 114 150 0 05 Jun 2020
Domain Knowledge Integration By Gradient Matching For Sample-Efficient Reinforcement Learning Parth Chadha 10 0 0 28 May 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 98 775 0 27 May 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 131 60 0 21 May 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 62 15 0 16 May 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 91 88 0 16 May 2020
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning Thomas M. Moerland Anna Deichler S. Baldi Joost Broekens Catholijn M. Jonker OffRL 42 10 0 15 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 101 133 0 14 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 114 678 0 12 May 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 62 50 0 19 Apr 2020
Modeling Survival in model-based Reinforcement Learning Saeed Moazami P. Doerschuk OffRL 29 1 0 18 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 58 128 0 16 Apr 2020
Policy-Aware Model Learning for Policy Gradient Methods Romina Abachi Mohammad Ghavamzadeh Amir-massoud Farahmand 77 36 0 28 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 215 494 0 17 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 78 25 0 14 Feb 2020
A Tensor Network Approach to Finite Markov Decision Processes E. Gillman Dominic C. Rose J. P. Garrahan 57 4 0 12 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 59 37 0 08 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 92 49 0 07 Feb 2020
Local Policy Optimization for Trajectory-Centric Reinforcement Learning Patrik Kolaric Devesh K. Jha A. Raghunathan F. Lewis M. Benosman Diego Romeres D. Nikovski 71 10 0 22 Jan 2020